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Nursing Diagnosis

Nursing Diagnosis

Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...

Documentation of Nursing Diagnosis

Documentation of Nursing Diagnosis

The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...

Formulating and Validating Nursing Diagnosis I

Formulating and Validating Nursing Diagnosis I

A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...

Diabetes: Symptoms, Diagnosis, and Complications

Diabetes: Symptoms, Diagnosis, and Complications

For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...

Formulating and Validating Nursing Diagnosis II

Formulating and Validating Nursing Diagnosis II

Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...

Role of Communication in the Nursing Process I: Assessment and Diagnosis

Role of Communication in the Nursing Process I: Assessment and Diagnosis

The nursing process uses scientific reasoning, problem-solving, and critical thinking to guide nurses in providing patients with appropriate care. This process is a systematic approach to recognize, avoid, and treat current or potential health issues while promoting the patient's well-being.
The nursing process considers the patient's emotional and physical well-being. The process can be repeated or stopped at any point if judged essential. Assessment is the first step in the nursing...

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Related Experiment Video

Updated: Jan 27, 2026

Chromogenic In Situ Hybridization as a Tool for HPV-Related Head and Neck Cancer Diagnosis

Chromogenic In Situ Hybridization as a Tool for HPV-Related Head and Neck Cancer Diagnosis

Published on: June 14, 2019

CytoProcessorTM: A New Cervical Cancer Screening System for Remote Diagnosis.

Elizabeth Faris Crowell¹, Cyril Bazin², François Saunier³

¹DATEXIM, Caen, France, efcrowell@gmail.com.

Acta Cytologica

|March 29, 2019

Summary

This summary is machine-generated.

The new CytoProcessorTM system significantly improves cervical cancer screening sensitivity and workflow efficiency compared to the ThinPrep Imaging System. This AI-powered virtual slide technology reduces missed diagnoses and processing time.

Keywords:

Artificial intelligence Cervical screening Digital pathology Gynecologic cytology Papanicolaou test

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Area of Science:

Cytopathology
Digital Pathology
Artificial Intelligence in Healthcare

Background:

Traditional automated cervical cytology screening relies on manual glass slide manipulation.
A novel system, CytoProcessorTM, leverages virtual slide technology and artificial intelligence for enhanced cervical cell analysis.
This system aims to improve sensitivity and streamline the screening workflow.

Purpose of the Study:

To compare the diagnostic sensitivity and specificity of CytoProcessorTM against the ThinPrep Imaging System.
To evaluate the performance of AI in identifying abnormal cervical cells within digital preparations.

Main Methods:

A cohort of 1,352 routine cervical cytology cases was analyzed.
Diagnoses were performed using both the ThinPrep Imaging System and CytoProcessorTM.
Discordant cases were resolved by a consensus committee.

Main Results:

CytoProcessorTM demonstrated significantly higher sensitivity for detecting "atypical squamous cells of undetermined significance (ASC-US) and more severe" and "low-grade squamous intraepithelial lesion and more severe" compared to ThinPrep.
False negatives were reduced by 2.6 times with CytoProcessorTM (1.5% missed cases) versus ThinPrep (4% missed cases).
The CytoProcessorTM workflow was 1.5 times faster, improving worker efficiency.

Conclusions:

CytoProcessorTM represents a new generation of automated screening systems with superior diagnostic sensitivity and processing speed.
Its fully digital slide presentation enables remote diagnosis of Papanicolaou tests, a first for this technology.